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Cyber-Physical Systems

AI and COVID-19

Specificaties
Paperback, blz. | Engels
Elsevier Science | e druk, 2021
ISBN13: 9780128245576
Rubricering
Elsevier Science e druk, 2021 9780128245576
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Samenvatting

Cyber-Physical Systems: AI and COVID-19 highlights original research which addresses current data challenges in terms of the development of mathematical models, cyber-physical systems-based tools and techniques, and the design and development of algorithmic solutions, etc. It reviews the technical concepts of gathering, processing and analyzing data from cyber-physical systems (CPS) and reviews tools and techniques that can be used. This book will act as a resource to guide COVID researchers as they move forward with clinical and epidemiological studies on this outbreak, including the technical concepts of gathering, processing and analyzing data from cyber-physical systems (CPS).

The major problem in the identification of COVID-19 is detection and diagnosis due to non-availability of medicine. In this situation, only one method, Reverse Transcription Polymerase Chain Reaction (RT-PCR) has been widely adopted and used for diagnosis. With the evolution of COVID-19, the global research community has implemented many machine learning and deep learning-based approaches with incremental datasets. However, finding more accurate identification and prediction methods are crucial at this juncture.

Specificaties

ISBN13:9780128245576
Taal:Engels
Bindwijze:Paperback

Inhoudsopgave

<p>1. AI-based implementation of decisive technology for prevention and fight with COVID-19 <br>Alok Negi and Krishan Kumar</p> <p>2. Internet of Things-based smart helmet to detect possible COVID-19 infections <br>Chanchal Ahlawat and Rajalakshmi Krishnamurthi</p> <p>3. Role of mobile health in the situation of COVID-19 pandemics: pros and cons <br>Priyanka Payal and Rao Sunita</p> <p>4. Combating COVID-19 using object detection techniques for next-generation autonomous systems <br>Hrishikesh Shenai, Jay Gala, Kaustubh Kekre, Pranjal Chitale and Ruhina Karani</p> <p>5. Non-contact measurement system for COVID-19 vital signs to aid mass screening—An alternate approach <br>Vijay Jeyakumar, K. Nirmala and Sachin G. Sarate</p> <p>6. Evolving uncertainty in healthcare service interactions during COVID-19: Artificial Intelligence - a threat or<br>support to value cocreation? <br>Sumit Saxena and Amritesh</p> <p>7. The COVID-19 outbreak: social media sentiment analysis of public reactions with a multidimensional perspective <br>Basant Agarwal, Vaishnavi Sharma, Priyanka Harjule, Vinita Tiwari and Ashish Sharma</p> <p>8. A new approach to predict COVID-19 using artificial neural networks <br>Soham Guhathakurata, Sayak Saha, Souvik Kundu, Arpita Chakraborty and Jyoti Sekhar Banerjee</p> <p>9. Rapid medical guideline systems for COVID-19 using database-centric modeling and validation of cyber-physical systems <br>Mani Padmanabhan</p> <p>10. Machine learning and security in Cyber Physical Systems <br>Neha V. Sharma, Narendra Singh Yadav and Saurabh Sharma</p> <p>11. Impact analysis of COVID-19 news headlines on global economy <br>Ananya Malik, Yash Tejas Javeri, Manav Shah and Ramchandra Mangrulkar</p> <p>12. Impact of COVID-19: a particular focus on Indian education system <br>Pushpa Gothwal, Bosky Dharmendra Sharma, Nandita Chaube and Nadeem Luqman</p> <p>13. Designing of Latent Dirichlet Allocation based prediction model to detect Midlife Crisis of losing jobs due to<br>prolonged lockdown for COVID-19 <br>B. Das, B. Das, A. Chatterjee and A. Das</p> <p>14. Autonomous robotic system for ultraviolet disinfection <br>Riki Patel, Harshal Sanghvi and Abhijit S. Pandya</p> <p>15. Emerging health start-ups for economic feasibility: opportunities during COVID-19 <br>Shweta Nanda</p>

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        Cyber-Physical Systems